Want to know if this job is worth applying to?
Hyderabad, Telangana, India
Onsite
At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique.
From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.
About the department:
We are looking for a Associate Distribution Data Management Analyst to join the Distribution Intelligence team. This role owns defined data-management workstreams for Distribution, including BAU data operations, data clean-up, metadata maintenance, data-quality execution, ad hoc request support, and project validation. The analyst will bridge business users, source systems, technology partners, and analytics consumers by ensuring distribution data is accurate, traceable, well documented, and fit for use across sales, marketing, reporting, and AI/BI consumption.
The ideal candidate will combine hands-on data operations experience, analytical problem-solving, and clear business communication. This person will be comfortable investigating data issues, executing controls, supporting business users, and improving repeatable processes across distribution data domains.
Distribution Data Operations:
Work on day-to-day data operations requests from Distribution business partners, including client data updates, CRM/MSD ticket support, AUM/flow validation, trade resolution or reallocation support, and governed data corrections.
Respond to ad hoc data questions, troubleshoot data integration or integrity issues, and provide basic technical analysis with clear business-facing explanations.
Data Quality & Process Control:
Document, maintain, and execute ongoing processes for data clean-up, metadata maintenance, SOP updates, and evidence retention.
Run recurring data audits, reconciliations, quality checks, and UAT support based on BAU and project needs.
Systems Knowledge & User Enablement:
Develop working knowledge of upstream and downstream systems and explain how data flow affects Distribution users and reporting consumers.
Share best practices with data consumers on the right source, field, process, and control path for common data needs.
Continuous Improvement:
Identify recurring manual work or defect patterns and propose practical improvements that reduce cycle time or improve accuracy.
Experience, Education & Certifications:
3-5 years of experience in data management or operations.
Experience in financial services, banking, asset management, sales operations, or marketing operations preferred.
Bachelor’s degree in engineering, computer science, information systems, business analytics, finance, or a related field preferred.
Technical Skills:
Basic to intermediate SQL proficiency.
Advanced Microsoft Excel capabilities.
Ability to analyse large datasets and identify exceptions.
Experience with CRM platforms and ticketing workflows.
Experience supporting data quality, data cleanup, and UAT activities.
Soft Skills:
Strong verbal and written communication skills.
Ability to explain technical issues to business audiences.
Strong analytical and problem-solving skills.
Work Shift Timings - 4:30 PM - 1:30 AM IST
At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.
Highlights of our benefits include:
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
